Model comparison
Amazon Nova Pro vs Mistral
Amazon Nova Pro is the stronger model overall, scoring 31.0 to 29.9 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Amazon Nova Pro scores higher in 7 categories and Mistral in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Amazon Nova Pro leads 64.9 to 52.6.
- The biggest single-benchmark swing is MMLU-Pro: 67.3% for Amazon Nova Pro and 27.7% for Mistral.
Side by side
| Amazon Nova Pro | Mistral | |
|---|---|---|
| Provider | Amazon | Mistral AI |
| Noometry Index | 31.0 | 29.9 |
| Released | 2024-12-03 | — |
| Weights | Proprietary | Proprietary |
| Context window | 300K | — |
| Max output | 10K | — |
| Input $ / M tokens | $0.80 | — |
| Output $ / M tokens | $3.20 | — |
| Results tracked | 38 | 22 |
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Category by category
Coding Amazon Nova Pro leads
Amazon Nova Pro: 35.1 (#229), Mistral: 33.8 (#250)
| Benchmark | Amazon Nova Pro | Mistral |
|---|---|---|
| LMArena Coding | 1270 | 1162 |
| LiveBench Coding | 38.1% | — |
Agentic & Tool Use Not comparable
Amazon Nova Pro: 16.7 (#147), Mistral: —
| Benchmark | Amazon Nova Pro | Mistral |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
Reasoning Mistral leads
Amazon Nova Pro: 20.0 (#243), Mistral: 22.2 (#200)
| Benchmark | Amazon Nova Pro | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1149 |
| LiveBench Reasoning | 32.6% | — |
| LiveBench Data Analysis | 48.3% | — |
| Epoch Capabilities Index | 123.8 | — |
| LiveBench | 43.5% | — |
Math Amazon Nova Pro leads
Amazon Nova Pro: 28.5 (#243), Mistral: 22.3 (#278)
| Benchmark | Amazon Nova Pro | Mistral |
|---|---|---|
| Omni-MATH | 24.2% | 7.2% |
| LMArena Math | 1252 | 1180 |
| LiveBench Math | 38% | — |
Knowledge Amazon Nova Pro leads
Amazon Nova Pro: 27.4 (#250), Mistral: 16.6 (#288)
| Benchmark | Amazon Nova Pro | Mistral |
|---|---|---|
| MMLU-Pro | 67.3% | 27.7% |
| GPQA (HELM) | 44.6% | 30.3% |
| LMArena Expert | 1211 | 1125 |
| Humanity's Last Exam | 4.4% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| MMLU | 82% | — |
Multimodal Not comparable
Amazon Nova Pro: 25.0 (#126), Mistral: —
| Benchmark | Amazon Nova Pro | Mistral |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual Amazon Nova Pro leads
Amazon Nova Pro: 39.7 (#223), Mistral: 32.8 (#254)
| Benchmark | Amazon Nova Pro | Mistral |
|---|---|---|
| LMArena Non-English | 1234 | 1129 |
| LMArena Chinese | 1244 | 1109 |
| LMArena French | 1271 | 1180 |
| LMArena German | 1243 | 1155 |
| LMArena Japanese | 1200 | 1013 |
| LMArena Korean | 1203 | 1032 |
| LMArena Russian | 1240 | 1168 |
| LMArena Spanish | 1182 | 1143 |
Instruction Following Amazon Nova Pro leads
Amazon Nova Pro: 64.9 (#226), Mistral: 52.6 (#288)
| Benchmark | Amazon Nova Pro | Mistral |
|---|---|---|
| IFEval | 81.5% | 56.8% |
| LMArena Instruction Following | 1235 | 1152 |
| LiveBench Instruction Following | 67.1% | — |
Long Context Amazon Nova Pro leads
Amazon Nova Pro: 38.1 (#205), Mistral: 35.0 (#245)
| Benchmark | Amazon Nova Pro | Mistral |
|---|---|---|
| LMArena Longer Query | 1255 | 1153 |
Writing & Preference Amazon Nova Pro leads
Amazon Nova Pro: 43.9 (#226), Mistral: 37.0 (#260)
| Benchmark | Amazon Nova Pro | Mistral |
|---|---|---|
| LMArena Text | 1259 | 1165 |
| LMArena Creative Writing | 1212 | 1158 |
| WildBench | 77.7% | 66% |
| LMArena Multi-Turn | 1246 | 1147 |
| Short-Story Creative Writing | 60.5% | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than Mistral?
Amazon Nova Pro is the stronger model overall, scoring 31.0 to 29.9 on the Noometry Index.
Is Amazon Nova Pro or Mistral better for coding?
Amazon Nova Pro scores higher on coding benchmarks: 35.1 versus 33.8 in the Noometry coding category.
How many benchmarks do Amazon Nova Pro and Mistral share?
22 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Mistral has 22.